Spatially adaptive multiplicative noise image denoising technique

IEEE Transactions on Image Processing

Volumn 11, Issue 12, 2002, Pages 1397-1404

  Hawwar, Yousef ^a   Reza, Ali ^b  

^a NOKIA RESEARCH CENTER   (United States)

^b UNIVERSITY OF WISCONSIN MILWAUKEE   (United States)

Author keywords

Image smoothing; Multiplicative noise; Nonlinear filtering; Wavelet transform

Indexed keywords

ADAPTIVE FILTERING; ALGORITHMS; GAUSSIAN NOISE (ELECTRONIC); IMAGE QUALITY; NONLINEAR FILTERING; WAVELET TRANSFORMS;

IMAGE FEATURES;

IMAGE PROCESSING;

EID: 0036991125     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2002.804526     Document Type: Article

References (23)

1. D. T. Kuan, A. A. Sawchuk, T. C. Strand, and P. Chavel, "Adaptive noise smoothing filter for images with signal-dependant noise," IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-7, Mar. 1985.
2. D. T. Kuan, A. A. Sawchuck, T. C. Strand, and P. Chavel, "Adaptive restoration of images with speckle," IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-35, pp. 373-383, Mar. 1987.
3. J. S. Lee, "Speckle analysis and smoothing of synthetic aperture radar images," Comput. Graph. Image Process., vol. 17, pp. 24-32, 1981.
4. _, "Digital image smoothing and the sigma filter," Comput. Graph. Image Process., vol. 17, pp. 255-269, 1983.
5. Lopes, E. Nezry, R. Touzi, and H. Laur, "Structure detection and statistical adaptive speckle filtering in SAR images," Int. J. Remote Sensing, vol. 14, pp. 1735-1758, 1993.
6. T. R. Crimmins, "Geometric filter for speckle reduction," Appl. Opt., vol. 24, pp. 1438-1443, 1985.
7. D. Donoho and I. Johnstone, "Ideal spatial adaptation via wavelet shrinkage," Biometrika, vol. 81, pp. 425-455, Dec. 1994.
8. M. K. Mihcak, I. Kozintsev, K. Ramchandran, and P. Moulin, "Low-complexity image denoising based on statistical modeling of wavelet coefficients," IEEE Signal Processing Lett., vol. 6, Dec. 1999.
9. S. G. Chang, B. Yu, and M. Vetterli, "Spatially adaptive wavelet thresholding with context modeling for image denoising," IEEE Trans. Image Processing, vol. 9, Sept. 2000.
10. Y. Xu, J. Weaver, D. Healy, and J. Lu, "Wavelet transform domain filters: A spatially selective noise filtration technique," IEEE Trans. Image Processing, vol. 3, Nov. 1994.
11. C. K. Cheong, K. Aizawa, and M. Hatori, "Nonlinear noise reduction based on zero-crossing representations of a wavelet transform," Electron. Commun. Jpn., pt. 3, vol. 78, no. 4, 1995.
12. B. Aiazzi, L. Alparone, and S. Baronti, "Multiresolution local-statistics speckle filtering based on a ratio Laplacian pyramid," IEEE Trans. Geosci. Remote Sensing, vol. 36, Sept. 1998.
13. X. Hao, S. Gao, and X. Gao, "A novel multiscale nonlinear thresholding method for ultrasonic speckle suppressing," IEEE Trans. Med. Imag., vol. 18, Sept. 1999.
14. L. Gagnon and A. Jouan, "Speckle filtering of SAR images: A comparative study between complex-wavelet-based and standard filters," Proc. SPIE, 1998.
15. S. Fukuda and H. Hirosawa, "Suppression of speckle in synthetic aperture radar images using wavelet," Int. J. Remote Sens., vol. 19, no. 3, pp. 507-519, 1998.
16. _, "Smoothing effect of wavelet-based speckle filtering: The Haar basis case," IEEE Trans. Geosci. Remote Sensing, vol. 37, Mar. 1999.
17. Y. Yoo, A. Ortega, and B. Yu, "Image subband coding using context-based classification and adaptive quantization," IEEE Trans. Image Processing, vol. 8, pp. 1702-1715, Dec. 1999.
18. R. Nowak, "Wavelet-based Rician noise removal for magnetic resonance imaging," IEEE Trans. Image Processing, vol. 8, Oct. 1999.
19. Papoulis, Probability and Statistics. Englewood Cliffs, NJ: Prentice-Hall, 1990.
20. S. Mallat, A Wavelet Tour of Signal Processing. New York: Academic, 1998.
21. I. Daubecies, Ten Lectures on Wavelets. Philadelphia, PA: SIAM, 1992.
22. M. Simard, G. DeGrandi, K. P. B. Thomson, and G. B. Benie, "Analysis of speckle noise contribution on wavelet decomposition of SAR images," IEEE Trans. Geosci. Remote Sensing, vol. 36, Nov. 1998.
23. Y. Hawwar and A. Reza, "Spatially adaptive wavelet transform speckle noise smoothing technique for SAR images," in SPIE 46th Annu. Meeting, San Diego, CA, Aug. 2001.